Software Alternatives, Accelerators & Startups

DeltaSalesApp VS Pandas

Compare DeltaSalesApp VS Pandas and see what are their differences

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DeltaSalesApp logo DeltaSalesApp

Field Sales Force Automation & Field Force Tracking Software

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
  • DeltaSalesApp Landing page
    Landing page //
    2021-09-30

Delta Sales App is a sales tracking software for field sales automation & employee location tracking to automate company sales and outside field sales activities with ease. This software is designed and developed for sales managers, distributors, brands to manage field sales forces activities. With the use of Delta Sales App, brands, distributors, sales managers can manage field sales employee activities and track their geo-location whereas field sales representatives having Delta Sales App installed in their handsets can automate their routine activities like order taking, payment collections, attendance making, applying for leave, expense management, and more.

  • Pandas Landing page
    Landing page //
    2023-05-12

DeltaSalesApp features and specs

  • Order Management
  • Attendance Recording/Monitoring
  • Expenses management
  • Stock Managment
  • Daily Status Tracking
  • work log

Pandas features and specs

  • Data Wrangling
    Pandas offers robust tools for manipulating, cleaning, and transforming data, making it easier to prepare data for analysis.
  • Flexible Data Structures
    Pandas provides two primary data structures: Series and DataFrame, which are flexible and offer powerful capabilities for handling various types of datasets.
  • Integration with Other Libraries
    Pandas integrates seamlessly with other Python libraries such as NumPy, Matplotlib, and SciPy, facilitating comprehensive data analysis workflows.
  • Performance with Data Size
    For data sizes that fit into memory, Pandas performs excellently with operations and computations being highly optimized.
  • Rich Feature Set
    Pandas provides a wide array of functionalities, including but not limited to group-by operations, merging and joining data sets, time-series functionality, and input/output tools.
  • Community and Documentation
    Pandas has a strong community and extensive documentation, offering a wealth of tutorials, examples, and support for new and experienced users alike.

Possible disadvantages of Pandas

  • Memory Consumption
    Pandas can become memory inefficient with very large datasets because it relies heavily on in-memory operations.
  • Single-threaded
    Many Pandas operations are single-threaded, which can lead to performance bottlenecks when handling very large datasets.
  • Steep Learning Curve
    For users who are new to data analysis or Pandas, there can be a steep learning curve due to its extensive capabilities and complex syntax at times.
  • Less Suitable for Real-time Analytics
    Pandas is not designed for real-time analytics and is better suited for batch processing due to its in-memory operations and single-threaded nature.
  • Error Handling
    Error messages in Pandas can sometimes be cryptic and hard to interpret, making debugging a challenge for users.

Analysis of DeltaSalesApp

Overall verdict

  • Overall, DeltaSalesApp is considered a useful tool for businesses looking to optimize their field sales operations. It is particularly beneficial for organizations with a large field force as it can significantly enhance productivity and customer interactions.

Why this product is good

  • DeltaSalesApp is a tool designed for field sales representatives, offering features such as sales tracking, order management, and customer relationship management (CRM). It aims to streamline sales operations by providing real-time data access, enhancing communication between teams, and improving sales processes.

Recommended for

  • Businesses with field sales teams
  • Companies looking to improve sales tracking and reporting
  • Organizations aiming to enhance CRM efforts
  • Sales managers who need real-time data on sales activities

Analysis of Pandas

Overall verdict

  • Pandas is highly recommended for tasks involving data manipulation and analysis, especially for those working with tabular data. Its efficiency and ease of use make it a staple in the data science toolkit.

Why this product is good

  • Pandas is widely considered a good library for data manipulation and analysis due to its powerful data structures, like DataFrames and Series, which make it easy to work with structured data. It provides a wide array of functions for data cleaning, transformation, and aggregation, which are essential tasks in data analysis. Furthermore, Pandas seamlessly integrates with other libraries in the Python ecosystem, making it a versatile tool for data scientists and analysts. Its extensive documentation and strong community support also contribute to its reputation as a reliable tool for data analysis tasks.

Recommended for

    Pandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.

DeltaSalesApp videos

Delta Sales App

More videos:

  • Demo - Delta Sales App

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

Category Popularity

0-100% (relative to DeltaSalesApp and Pandas)
Sales Force Automation
100 100%
0% 0
Data Science And Machine Learning
Field Service Management
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare DeltaSalesApp and Pandas

DeltaSalesApp Reviews

  1. Anmol Adhikari
    · Student at University ·
    One of the best application for sales field

    We can track the live location of the sales field person. The orders are also easy to enter as it saves a lot of time. The feature of dispatch is also easy to use and with the help of few clicks we can perform the sales related activities.

    🏁 Competitors: Salesforce Sales Cloud
    👍 Pros:    Saves a ton of time|Easy to use|Easy user interface|Realtime tracking & report|Full fledged dashboard and reporting|Automation and custom functions|Affordable price
  2. Suman Ghimire
    · Admin at Astra Pharmacy ·
    Great Experinece

    I was really having a problem keeping the party's details up to date and communicating to all the employees. All this was taking down the sales of the company and I was unable to hold everything at a balance. I thought about giving a try to the Delta sales app as it consists of almost every feature which I needed at that point in time. I implemented the app in my company and as expected delta sales app turned to be super helpful to my company.

    👍 Pros:    With just some taps i can have easy access, to a lot of features. party notes, beat plans, and announcement features are the ones i love the most. their live-tracking feature is something i should definitely not miss to admire.
    👎 Cons:    To get straight to the point, i haven't seen any cons till now from my first day of usage. but if i have to admit, i would say the addition of an sms alert for salesman is something the delta sales app is missing. this feature would be a great addition. besides that, i haven't found any cons in my usage so far.
  3. AnujGiri
    · sales team at Printing press ·
    This app is very easy to use and helpful customer support.

    Delta Sales APP that can be utilized by salespeople at any time and in any location with proper order, collection and complete report.

    🏁 Competitors: Bizom, Spotio
    👍 Pros:    The software is user friendly and easy to use.
    👎 Cons:    The app will be more better if it has ios version too.

Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

Social recommendations and mentions

Based on our record, Pandas seems to be a lot more popular than DeltaSalesApp. While we know about 219 links to Pandas, we've tracked only 1 mention of DeltaSalesApp. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

DeltaSalesApp mentions (1)

  • Delta Sales App
    Delta Sales Appis a user-friendly cloud-based field sales tracking software that helps in managing sales of your business. Source: about 2 years ago

Pandas mentions (219)

  • Top Programming Languages for AI Development in 2025
    Libraries for data science and deep learning that are always changing. - Source: dev.to / 28 days ago
  • How to import sample data into a Python notebook on watsonx.ai and other questions…
    # Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / about 1 month ago
  • How I Hacked Uber’s Hidden API to Download 4379 Rides
    As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / about 2 months ago
  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
  • Sample Super Store Analysis Using Python & Pandas
    This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 9 months ago
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What are some alternatives?

When comparing DeltaSalesApp and Pandas, you can also consider the following products

ReachOut - ReachOut is a field service management suite to streamline field processes with customizable mobile-based forms and workflow.

NumPy - NumPy is the fundamental package for scientific computing with Python

Smart Service - Smart Service's QuickBooks integration makes it the ultimate scheduling and dispatch software for HVAC, plumbing, pest control, and other service industries.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Oracle Siebel Field Service - Oracle's Siebel Field Service enables businesses to dramatically enhance their customer service offerings.

OpenCV - OpenCV is the world's biggest computer vision library